High-resolution maps show that rubber causes substantial deforestation

被引:29
|
作者
Wang, Yunxia [1 ]
Hollingsworth, Peter M. [1 ]
Zhai, Deli [2 ]
West, Christopher D. [3 ]
Green, Jonathan M. H. [3 ]
Chen, Huafang [4 ,5 ]
Hurni, Kaspar [6 ,7 ]
Su, Yufang [5 ,8 ]
Warren-Thomas, Eleanor [9 ,10 ]
Xu, Jianchu [4 ,5 ]
Ahrends, Antje [1 ]
机构
[1] Royal Bot Garden Edinburgh, Edinburgh, Midlothian, Scotland
[2] Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Xishuangbanna, Peoples R China
[3] Univ York, Stockholm Environm Inst York, Dept Environm & Geog, York, N Yorkshire, England
[4] Chinese Acad Sci, Kunming Inst Bot, Ctr Mt Futures, Kunming, Peoples R China
[5] CIFOR ICRAF, China Country Program, Kunming, Yunnan, Peoples R China
[6] Univ Bern, Ctr Dev & Environm, Bern, Switzerland
[7] East West Ctr, Honolulu, HI USA
[8] Yunnan Acad Social Sci, Inst Econ, Kunming, Peoples R China
[9] Bangor Univ, Coll Environm Sci & Engn, Sch Nat Sci, Bangor, Wales
[10] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria
基金
英国科研创新办公室; 英国自然环境研究理事会;
关键词
MAINLAND SOUTHEAST-ASIA; NATURAL-RUBBER; HEVEA-BRASILIENSIS; SOUTHWEST CHINA; COLLECT EARTH; GOOGLE EARTH; BOOM CROPS; LAND-COVER; EXPANSION; PLANTATIONS;
D O I
10.1038/s41586-023-06642-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding the effects of cash crop expansion on natural forest is of fundamental importance. However, for most crops there are no remotely sensed global maps, and global deforestation impacts are estimated using models and extrapolations. Natural rubber is an example of a principal commodity for which deforestation impacts have been highly uncertain, with estimates differing more than fivefold. Here we harnessed Earth observation satellite data and cloud computing to produce high-resolution maps of rubber (10 m pixel size) and associated deforestation (30 m pixel size) for Southeast Asia. Our maps indicate that rubber-related forest loss has been substantially underestimated in policy, by the public and in recent reports. Our direct remotely sensed observations show that deforestation for rubber is at least twofold to threefold higher than suggested by figures now widely used for setting policy. With more than 4 million hectares of forest loss for rubber since 1993 (at least 2 million hectares since 2000) and more than 1 million hectares of rubber plantations established in Key Biodiversity Areas, the effects of rubber on biodiversity and ecosystem services in Southeast Asia could be extensive. Thus, rubber deserves more attention in domestic policy, within trade agreements and in incoming due-diligence legislation.
引用
收藏
页码:340 / 346
页数:23
相关论文
共 50 条
  • [1] Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo
    Dorais, Alexis
    Cardille, Jeffrey
    REMOTE SENSING, 2011, 3 (06): : 1157 - 1176
  • [2] High-resolution maps of forest-urban watersheds present an opportunity for ecologists and managers
    Stueve, Kirk M.
    Hollenhorst, Tom P.
    Kelly, John R.
    Johnson, Lucinda B.
    Host, George E.
    LANDSCAPE ECOLOGY, 2015, 30 (02) : 313 - 323
  • [3] High-resolution global mature and young oil palm plantation subclass maps for 2020
    Xu, You
    Fu, Dongjie
    Yu, Hao
    Su, Fenzhen
    Lyne, Vincent
    Fan, Rong
    He, Bin
    Pan, Tingting
    Tang, Jiasheng
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 16 (01) : 2168 - 2188
  • [4] A Web-Based Prototype System for Deforestation Detection on High-Resolution Remote Sensing Imagery With Deep Learning
    Wang, Zhipan
    Mo, Zewen
    Liang, Yinyu
    Yang, Zijun
    Liao, Xiang
    Wang, Zhongwu
    Zhang, Qingling
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 18593 - 18612
  • [5] A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators
    Lopez-De-Castro, Marcos
    Prieto-Herraez, Diego
    Asensio-Sevilla, Maria Isabel
    Pagnini, Gianni
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 27
  • [6] Developing High-Resolution Crop Maps for Major Crops in the European Union Based on Transductive Transfer Learning and Limited Ground Data
    Luo, Yuchuan
    Zhang, Zhao
    Zhang, Liangliang
    Han, Jichong
    Cao, Juan
    Zhang, Jing
    REMOTE SENSING, 2022, 14 (08)
  • [7] Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform
    Condro, Aryo Adhi
    Setiawan, Yudi
    Prasetyo, Lilik Budi
    Pramulya, Rahmat
    Siahaan, Lasriama
    LAND, 2020, 9 (10) : 1 - 15
  • [8] NESEA-Rice10: high-resolution annual paddy rice maps for Northeast and Southeast Asia from 2017 to 2019
    Han, Jichong
    Zhang, Zhao
    Luo, Yuchuan
    Cao, Juan
    Zhang, Liangliang
    Cheng, Fei
    Zhuang, Huimin
    Zhang, Jing
    Tao, Fulu
    EARTH SYSTEM SCIENCE DATA, 2021, 13 (12) : 5969 - 5986
  • [9] Strain-induced crystallization of natural rubber as studied by high-resolution solid-state 13C NMR spectroscopy
    Lin, WX
    Bian, MH
    Yang, G
    Chen, Q
    POLYMER, 2004, 45 (14) : 4939 - 4943
  • [10] A High-Resolution Map of Singapore's Terrestrial Ecosystems
    Gaw, Leon Yan-Feng
    Yee, Alex Thiam Koon
    Richards, Daniel Rex
    DATA, 2019, 4 (03)